Description of boundary case methodology for anthropometric diversity consideration

Brolin, Erik; Högberg, Dan; Hanson, Lars

doi:10.1504/ijhfms.2012.051097

Cited by 20 publications

(11 citation statements)

References 11 publications

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“…The body mass index (BMI) was also calculated and reported in Table 2. The mean BMI was also found to be 21.95 kg/ m 2 and is within the normal range of 18.5-24.9 44 . The normality of the data distributions was also tested using skewness and kurtosis tests for validating the nature of data distributions representing the army population 42 , as shown in Table 2.…”

Section: Reliability Measurementmentioning

confidence: 74%

“…Similarly, kurtosis Z-score depicted that only three body variables, i.e., popliteal length, hip breadth, and waist breadth were not normal, while the rest (90% body variables) could be considered normal. Brolin 44 , et al and Taifa and Desai 47 pointed out that stature and other limb measurements are often normal, irrespective of small sample size. In related literature 48,49 , it has been documented that most of the anthropometric variables are normally distributed, even for smaller sample sizes; however, body weight often show a positively skewed distribution.…”

Section: Reliability Measurementmentioning

confidence: 99%

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Anthropometric Measurement and Comparative Analysis of Ethiopian Army Personnel Across Age, Ethnicity, and Nationality

2020

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The anthropometric characteristics of the users depend upon the topography, nutrition, age, ethnicity, gender, and living conditions, and play a crucial role in the design of the equipment and the workspace to be used by them. This study aims to establish an anthropometry database for male Ethiopian army personnel and investigate the anthropometric variability across ethnicity, age, and with other countries, with the intention to facilitate ergonomic design and development of various facilities (e.g., equipment/ devices, and workspaces) for the Ethiopian army. Following the reliability assessment of the physical measurement technique, the anthropometric data from 250 Ethiopian male army personnel (four different ethnic groups at different age levels) were collected, and normality of the data set was tested. The anthropometric database of Ethiopian army personnel in terms of range, mean, standard deviation, percentile values (5th, 50th, and 95th) was documented. PCA was applied to select a smaller representative by reducing a larger set of variables for further statistical analysis and applications. ANOVA and follow-up posthoc test (Tukey’s HSD test) were carried out to compare anthropometric differences among different age groups and ethnic variations. The mean anthropometric differences were also compared with databases from other countries (India, Korea, and USA) using t-test. Significant variations were found when the anthropometry was compared between age, ethnicity, and cross-nationals. The findings indicate that variations in age, ethnicity, and geographical factors could have a significant impact on the ergonomic design of equipment and workspaces of Ethiopian army personnel.

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Section: Reliability Measurementmentioning

confidence: 74%

Section: Reliability Measurementmentioning

confidence: 99%

Anthropometric Measurement and Comparative Analysis of Ethiopian Army Personnel Across Age, Ethnicity, and Nationality

2020

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“…The CAESAR database on Asian population (SAE International, 2022) was used to obtain anthropometric data of 176 individuals (83 male and 93 female). This data was used to create two confidence ellipsoids, one for males and one for females, both with a confidence interval of 95% (Brolin et al, 2012). Using the method described in Högberg et al (2011), considering axial and centre cases of both ellipsoids, a family of 10 manikins (Table 1) was created in IPS IMMA (Figure 5).…”

Section: Representation Of Anthropometric Diversitymentioning

confidence: 99%

Using time-based musculoskeletal risk assessment methods to assess worker well-being in optimizations in a welding station design

Pascual

Mora

Högberg

et al. 2022

Proceedings of the 7th International Digital Human Modeling Symposium -

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Simulation using virtual models is used widely in industries because it enables efficient creation, testing, and optimization of the design of products and production systems in virtual worlds. Simulation is also used in the design of workstations to assess worker well-being by using digital human modelling (DHM) tools. DHM tools typically include musculoskeletal risk assessment methods, such as RULA, REBA, OWAS, and NIOSH Lifting Equation, that can be used to study, analyse, and evaluate the risk of workrelated musculoskeletal disorders of different design solutions in a proactive manner. However, most musculoskeletal risk assessment methods implemented in DHM tools are in essence made to assess static instances only. Also, the methods are typically made to support manual observations of the work rather than by algorithms in a software. This means that, when simulating full work sequences to evaluate manikins' well-being, using these methods becomes problematic in terms of the legitimacy of the evaluation results. In addition to that, to consider objectives in optimizations they should be measurable with real numbers, which most of musculoskeletal risk assessment methods cannot provide when simulating full work sequences.In this study, we implemented the musculoskeletal risk assessment method OWAS in a digital tool connected to the DHM tool IPS IMMA. We applied the Lundqvist index on top of the OWAS whole body risk category score. This gave us an integer of the time-based ergonomic load for a specific simulation sequence, enabling us to qualitatively compare different design solutions. Using this approach, we performed an optimization in a welding gun workstation to improve the design of the workstation. The results show that using time-based musculoskeletal risk assessment methods as objective functions in 7th International Digital Human Modeling Symposium (DHM 2022) 2 optimizations in DHM tools can provide valuable decision support in finding solutions for workstation designs that consider worker well-being.

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“…A manikin family of 7 females and 7 males was considered in the simulations. The anthropometric measurements of the manikin family were generated from two three-dimensional boundary ellipsoids, with a confidence level of 90% (Brolin et al, 2012). One ellipsoid for each sex, based on stature, body weight, and sitting height.…”

Section: Comparison Proceduresmentioning

confidence: 99%

Simulation of hip joint location for occupant packaging design

Luque

Brolin

Lamb

et al. 2022

Proceedings of the 7th International Digital Human Modeling Symposium -

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DHM tools have been widely used to analyze and improve vehicle occupant packaging and interior design in the automotive industry. However, these tools still present some limitations for this application.Accurately characterizing seated posture is crucial for ergonomic and safety evaluations. Current human posture and motion predictions in DHM tools are not accurate enough for the precise nature of vehicle interior design, typically requiring manual adjustments from DHM users to get more accurate driving and passenger simulations. Manual adjustment processes can be time-consuming, tedious, and subjective, easily causing non-repeatable simulation results. These limitations create the need to validate the simulation results with real-world studies, which increases the cost and time in the vehicle development process.Working with multiple Swedish automotive companies, we have begun to identify and specify the limitations of DHM tools relating to driver and passenger posture predictions given predefined vehicle geometry points/coordinates and specific human body parts relationships. Two general issues frame the core limitations. First, human kinematic models used in DHM tools are based on biomechanics models that do not provide definitions of these models in relation to vehicle geometries. Second, vehicle designers follow standards and regulations to obtain key human reference points in seated occupant locations.However, these reference points can fail to capture the range of human variability. This paper describes the relationship between a seated reference point and a biomechanical hip joint for driving simulations. The lack of standardized connection between occupant packaging guidelines and the biomechanical knowledge of humans creates a limitation for ergonomics designers and DHM users. We assess previous studies addressing hip joint estimation from different fields to establish the key aspects that might affect the relationship between standard vehicle geometry points and the hip joint. Then we suggest a procedure for standardizing points in human models within DHM tools. A better understanding of this problem may contribute to achieving closer to reality driving posture simulations and facilitating communication of ergonomics requirements to the design team within the product development process.

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Description of boundary case methodology for anthropometric diversity consideration

Cited by 20 publications

References 11 publications

Anthropometric Measurement and Comparative Analysis of Ethiopian Army Personnel Across Age, Ethnicity, and Nationality

Anthropometric Measurement and Comparative Analysis of Ethiopian Army Personnel Across Age, Ethnicity, and Nationality

Using time-based musculoskeletal risk assessment methods to assess worker well-being in optimizations in a welding station design

Simulation of hip joint location for occupant packaging design

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